Bayesian structural equation modeling for the health index

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

There are many factors which could influence the level of health of an individual. These factors are interactive and their overall effects on health are usually measured by an index which is called as health index. The health index could also be used as an indicator to describe the health level of a community. Since the health index is important, many research have been done to study its determinant. The main purpose of this study is to model the health index of an individual based on classical structural equation modeling (SEM) and Bayesian SEM. For estimation of the parameters in the measurement and structural equation models, the classical SEM applies the robust-weighted least-square approach, while the Bayesian SEM implements the Gibbs sampler algorithm. The Bayesian SEM approach allows the user to use the prior information for updating the current information on the parameter. Both methods are applied to the data gathered from a survey conducted in Hulu Langat, a district in Malaysia. Based on the classical and the Bayesian SEM, it is found that demographic status and lifestyle are significantly related to the health index. However, mental health has no significant relation to the health index.

Original languageEnglish
Pages (from-to)1254-1269
Number of pages16
JournalJournal of Applied Statistics
Volume40
Issue number6
DOIs
Publication statusPublished - Jun 2013

Fingerprint

Structural Equation Modeling
Health
Structural equation modeling
Structural Equation Model
Malaysia
Gibbs Sampler
Weighted Least Squares
Prior Information
Updating
Determinant

Keywords

  • Bayesian SEM
  • Gibbs sampler
  • health index
  • prior information
  • structural equation modeling

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

Cite this

Bayesian structural equation modeling for the health index. / Yanuar, Ferra; Ibrahim, Kamarulzaman; Jemain, Abdul Aziz.

In: Journal of Applied Statistics, Vol. 40, No. 6, 06.2013, p. 1254-1269.

Research output: Contribution to journalArticle

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